6 citations · 13 across the 9 of their papers we have counts for
9 papers
Conformalized Fairness via Quantile Regression
Meichen Liu, Lei Ding, Dengdeng Yu +3
Algorithmic fairness has received increased attention in socially sensitive domains. While rich literature on mean fairness has been established, research on quantile fairness rema…
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson +9
Traditional biological and pharmaceutical manufacturing plants are controlled by human workers or pre-defined thresholds. Modernized factories have advanced process control algorit…
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
Lei Ding, Dengdeng Yu, Jinhan Xie +7
With widening deployments of natural language processing (NLP) in daily life, inherited social biases from NLP models have become more severe and problematic. Previous studies have…
Multivariate functional responses low rank regression with an application to brain imaging data
Xiucai Ding, Dengdeng Yu, Zhengwu Zhang +1
We propose a multivariate functional responses low rank regression model with possible high dimensional functional responses and scalar covariates. By expanding the slope functions…
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer's Disease
Dengdeng Yu, Linbo Wang, Dehan Kong +1
Alzheimer's disease is a progressive form of dementia that results in problems with memory, thinking, and behavior. It often starts with abnormal aggregation and deposition of beta…
Nonparametric principal subspace regression
Mark Koudstaal, Dengdeng Yu, Dehan Kong +1
In scientific applications, multivariate observations often come in tandem with temporal or spatial covariates, with which the underlying signals vary smoothly. The standard approa…
An Alternative Approach to Functional Linear Partial Quantile Regression
Dengdeng Yu, Matthew Pietrosanu, Ivan Mizera +3
Functional data such as curves and surfaces have become more and more common with modern technological advancements. The use of functional predictors remains challenging due to its…
Sparse Wavelet Estimation in Quantile Regression with Multiple Functional Predictors
Dengdeng Yu, Li Zhang, Ivan Mizera +2
In this manuscript, we study quantile regression in partial functional linear model where response is scalar and predictors include both scalars and multiple functions. Wavelet bas…
Partial Functional Linear Quantile Regression for Neuroimaging Data Analysis
Dengdeng Yu, Linglong Kong, Ivan Mizera
We propose a prediction procedure for the functional linear quantile regression model by using partial quantile covariance techniques and develop a simple partial quantile regressi…